Senior Machine Learning Operations Engineer

• Design build and maintain scalable ML systems and infrastructure using Python Postgres and Elasticsearch.
• Lead sprints conduct rigorous code reviews and set the gold standard for engineering practices across the organization.
• Actively mentor junior and mid-level engineers fostering a culture of technical excellence and professional growth.
• Partner closely with other Machine Learning Engineers Product Managers Data Scientists Data Engineers and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
• Independently and with relatively little oversight own systems throughout the software development lifecycle from design to development deployment and monitoring.
• Maintain and improve performance of existing data systems and processes while balancing maintainability observability and readability.
• Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time you must be able to explain the behavior of and contribute to code bases that may be outside your domain.
• Proactively propose solutions to gaps or risks in process technology software design and architecture
• Provide rigorous and detailed code reviews that uphold team standards testing and software design best practices
• Foster a culture of constant improvement and growth engineering excellence humility positivity and curiosity. Take a lead role in making our two days in the office productive and engaging fostering face-to-face mentorship and collaborative whiteboarding sessions.
• In partnership with other leaders establish best practices across the organization and drive the organizations standards within the team leading by example.

Qualities That Enable Success in This Role:

• You are a self-starter who can deliver projects independently yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player.
• You approach software engineering as a craft balancing the pursuit of clean maintainable code with the demands of a fast-moving dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation you also recognize the critical need to stabilize and harden existing products and services.
• You find genuine joy in helping others level up their skills and navigate their career paths. You view peer reviews as a powerful tool for technical mentorship and can provide feedback in a constructive manner.
• You are able to translate ambiguous and amorphous ideas or problems into concrete projects or initiatives while getting buy-in from engineering data science data engineering or product management partners.
• You believe that while remote work is functional in-person collaboration is where the magic happens. You are excited to help shape the energy of our physical workspace.
• You take initiative to go beyond current responsibilities and actively seek new challenges.
• You are passionate about building high impact ML and data driven products.

• Bachelors degree in Computer Science Engineering or a related field or equivalent professional experience.
• 5 years of experience with Python object oriented programming and building highly scalable backend services.
• Experience with ML ops model serving and optimization a plus.
• 3 years of experience with relational databases
• 2 years in a lead or senior-level capacity
• 2 years of experience designing maintainable and scalable systems
• Proven expertise in system design with a focus on distributed systems and event-driven architectures
• Experience developing cloud-native dockerized applications in Kubernetes
• Experience working with online experimentation and platforms like Statsig
• Understanding of both traditional machine learning and deep neural networks
• Strong communication skills with the ability to articulate diagram and document complex engineering concepts.
• Strong analytical problem-solving decision-making and interpersonal skills.
• Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery.